Tsendsuren Munkhdalai

发表

An Analysis of Machine Learning Intelligence pdf

Hao Wu, Hong Yu, John P. Lalor, 2017, ArXiv.

Metalearning with Hebbian Fast Weights pdf

Tsendsuren Munkhdalai, Adam Trischler, Adam Trischler, 2018, ArXiv.

Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension pdf

Rajarshi Das, Andrew McCallum, Tsendsuren Munkhdalai, 2018, ICLR.

Sentence Simplification with Memory-Augmented Neural Networks

Hong Yu, Baotian Hu, Tsendsuren Munkhdalai, 2018, NAACL.

BFSM: Finite state machine learned as name boundary definer for bio named entity recognition

Keun Ho Ryu, Tsendsuren Munkhdalai, Meijing Li, 2011, 2011 3rd International Conference on Awareness Science and Technology (iCAST).

Self-training in significance space of support vectors for imbalanced biomedical event data

Keun Ho Ryu, Tsendsuren Munkhdalai, Oyun-Erdene Namsrai, 2015, BMC Bioinformatics.

Mixture of Activation Functions With Extended Min-Max Normalization for Forex Market Prediction

Keun Ho Ryu, Tsendsuren Munkhdalai, Heon Gyu Lee, 2019, IEEE Access.

Learning Rapid-Temporal Adaptations pdf

Tsendsuren Munkhdalai, Adam Trischler, Xingdi Yuan, 2017, ArXiv.

Rapid Adaptation with Conditionally Shifted Neurons

Tsendsuren Munkhdalai, Adam Trischler, Xingdi Yuan, 2017, ICML.

Exploring and Predicting Transferability across NLP Tasks

Subhransu Maji, Tong Wang, Tsendsuren Munkhdalai, 2020, EMNLP.

Incorporating domain knowledge in chemical and biomedical named entity recognition with word representations

Keun Ho Ryu, Hyeon Park, Tsendsuren Munkhdalai, 2015, Journal of Cheminformatics.

An End-to-End Adaptive Input Selection With Dynamic Weights for Forecasting Multivariate Time Series

Keun Ho Ryu, Tsendsuren Munkhdalai, Hyun Woo Park, 2019, IEEE Access.

Reasoning with Memory Augmented Neural Networks for Language Comprehension pdf

Hong Yu, Tsendsuren Munkhdalai, 2017, ICLR.

Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study

Hao Wu, Hong Yu, John P. Lalor, 2017, EMNLP.

Bio Named Entity Recognition Based on Co-training Algorithm

Keun Ho Ryu, Jungpil Shin, Taewook Kim, 2012, 2012 26th International Conference on Advanced Information Networking and Applications Workshops.

Hong Yu, Tsendsuren Munkhdalai, Tsendsuren Munkhdalai, 2017, ICML.

Towards a Unified Named Entity Recognition System - Disease Mention Identification

Keun Ho Ryu, Tsendsuren Munkhdalai, Meijing Li, 2015, BIOINFORMATICS.

Metalearned Neural Memory

Tsendsuren Munkhdalai, Adam Trischler, Alessandro Sordoni, 2019, NeurIPS.

A Self-training with Active Example Selection Criterion for Biomedical Named Entity Recognition

Keun Ho Ryu, Incheon Paik, Tsendsuren Munkhdalai, 2012, ICHIT.

An Active Co-Training Algorithm for Biomedical Named-Entity Recognition

Keun Ho Ryu, Unil Yun, Tsendsuren Munkhdalai, 2012, J. Inf. Process. Syst..

The CHEMDNER corpus of chemicals and drugs and its annotation principles

Zhiyong Lu, Karin M. Verspoor, Hongfang Liu, 2015, Journal of Cheminformatics.

A Locally Adaptive Interpretable Regression pdf

Keun Ho Ryu, Tsendsuren Munkhdalai, Lkhagvadorj Munkhdalai, 2020, ArXiv.

Sparse Meta Networks for Sequential Adaptation and its Application to Adaptive Language Modelling pdf

Tsendsuren Munkhdalai, Tsendsuren Munkhdalai, 2020, ArXiv.

Towards a Unified Named Entity Recognition System

Keun Ho Ryu, Tsendsuren Munkhdalai, Meijing Li, 2015, BIOSTEC 2015.

A Dependency Graph-Based Keyphrase Extraction Method Using Anti-patterns

Keun Ho Ryu, Tsendsuren Munkhdalai, Meijing Li, 2018, J. Inf. Process. Syst..

A Novel Approach for Protein-Named Entity Recognition and Protein-Protein Interaction Extraction

Keun Ho Ryu, Tsendsuren Munkhdalai, Xiuming Yu, 2015 .

Citation Analysis with Neural Attention Models

Hong Yu, John P. Lalor, Tsendsuren Munkhdalai, 2016, Louhi@EMNLP.

A Feature Selection-based Ensemble Method for Arrhythmia Classification

Keun Ho Ryu, Tsendsuren Munkhdalai, Meijing Li, 2013, J. Inf. Process. Syst..

Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP

Andrew McCallum, Tsendsuren Munkhdalai, Trapit Bansal, 2021, EMNLP.

Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition pdf

Khe Chai Sim, Tsendsuren Munkhdalai, Trevor Strohman, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust Continuous On-Device Personalization for Automatic Speech Recognition

Khe Chai Sim, Tsendsuren Munkhdalai, Françoise Beaufays, 2021, Interspeech.

An Empirical Comparison of Machine-Learning Methods on Bank Client Credit Assessments

Tsendsuren Munkhdalai, Oyun-Erdene Namsrai, Lkhagvadorj Munkhdalai, 2019, Sustainability.

BANNER-CHEMDNER : Incorporating Domain Knowledge in Chemical and Drug Named Entity Recognition

Keun Ho Ryu, Tsendsuren Munkhdalai, Meijing Li, 2013 .